Head Trauma

Molecular features of human pathological tau distinguish tauopathy-associated dementias.

In Alzheimer's disease (AD), pathological tau protein shows a progressive accumulation of post-trans...

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study.

BACKGROUND: Rib fractures are present in 10%-15% of thoracic trauma cases but are often missed on ch...

Bridging performance and uncertainty: Cautionary notes on machine learning and large language models in TBI prognostication.

Predicting Return Home After Moderate-to-Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Days alive and at home (DAH) is a validated outcome measure that captures...

Comparison of Pragmatic Post-Thrombectomy Prognostic Scores Not Based on Advanced Imaging in a Large National Stroke Registry.

BACKGROUND: Nearly half of the patients who received endovascular thrombectomy (EVT) for large vesse...

Multi-omics prediction of key proteases regulating scar formation and neural repair after spinal cord injury.

Neurological injury is often accompanied by extensive infiltration of macrophages along with activat...

MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study.

PURPOSE: To develop and validate an MRI-based fusion model (Rad-SRad-SwinT) integrating conventional...

Peptide-nanoparticle platforms for antisense therapeutics: A coarse-grained modeling approach to brain delivery.

Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting ...

Extracellular matrix stiffness drives post-mitotic nuclear pore complex assembly to promote neuroblastoma pathogenesis.

Nuclear pore complex (NPC) undergoes dynamic changes in physiology and pathology, yet its roles in n...

Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specificall...

Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study.

BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Mo...

Machine learning-enabled prediction of hemorrhagic transformation post-thrombectomy using quantitative DSA.

This study aims to construct a predictive model for post-thrombectomy hemorrhagic transformation (HT...

Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, ear...

Identifying the state of cerebrovascular autoregulation using the pressure reactivity index versus the mean flow index: Why metric matters.

Cerebral autoregulation maintains stable cerebral blood flow despite fluctuations in cerebral perfus...

Predicting functional results of percutaneous coronary intervention using machine learning modelling.

BACKGROUND: Post-percutaneous coronary intervention (PCI) Murray's law-based quantitative flow ratio...

Machine learning models in predicting viability after testicular torsion: a proof of concept study.

PURPOSE: Decision-making for orchiectomy following testicular torsion often relies on subjective cli...

Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into ...

Mechanism-informed machine learning for individualized tacrolimus dose adjustment in the early post-kidney transplant period.

AIM: Tacrolimus dosing in the early post-kidney transplant period is challenging due to a narrow the...

Clinical assessment of a Near-Infrared spectroscopy device for rapid triage in traumatic brain injury.

BACKGROUND: Traumatic Brain Injury (TBI) poses a significant public health challenge in India, with ...

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study.

BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscita...

Bergenin attenuates traumatic brain injury via inhibition of microglial PFKFB3-driven glycolytic-inflammatory crosstalk.

Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturba...